Marcus sat at his desk, watching the snow fall gently outside his window. A mug of hot chocolate sat beside him, the steam rising and filling the air with the sweet scent of cocoa. He tapped his fingers rhythmically on the table, a habit he did when he was in a state of tranquil contemplation. He had taken a sabbatical from his work and this moment, watching the snow, was a perfect ending to his day. He felt a sense of calm.

His phone buzzed. He picked it up and saw an email from an online magazine. The subject line was “Congratulations! Your article is now live!” He smiled. This was great news, at last.

But when he saw the byline, his smile vanished. “By, Laura Smith.” He felt a jolt. His fingers stilled, and his breath caught. He reread the name again, his face paling.

Emotion: relaxed

Cluster: Calm / Serenity
PC1 (Valence): 2.55 Positive
PC2 (Disposition): -2.48

Role in Research

This story is one of 1,000 stories generated for the emotion relaxed. During extraction, it was fed through Gemma4-31B and its hidden state activations were captured at 11 layers.

The mean activation across all 1,000 relaxed stories, after denoising with neutral dialogue baselines, produces the relaxed emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the relaxed vector is projected through the unembedding matrix.

Promoted:
la0.638
disfrut0.418
прият0.386
楽し0.368
affectionately0.368
Suppressed:
L-0.598
S-0.558
C-0.435
because-0.428
ness-0.379